OpenML
15244

Run 15244

Task 59 (Supervised Classification) iris Uploaded 03-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SimpleLogistic(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SimpleLogistic(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SimpleLogistic(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_SimpleLogistic(1)_Wweka.classifiers.functions.SimpleLogistic
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.SimpleLogistic(1)_H50
weka.SimpleLogistic(1)_I0
weka.SimpleLogistic(1)_M500
weka.SimpleLogistic(1)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9943
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9466
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.92
Cross-validation details (10-fold Crossvalidation)
KB relative information score
116.4231
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1334
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.3]
Precision
0.9471
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9467
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9467
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3002
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1997
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4237
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1435.1274[1009.39856197090491232.8566255344197670.46006929852041343.9835860647672918.938098884368]